Hui‐Ming Kuo

542 citations
14 papers · 252 indexed · h-index 7

Hui‐Ming Kuo

13 papers receiving 223 citations

Peers

Hui‐Ming Kuo
Comparison fields: 5 of 85
  • Marketing 54
  • Information Systems and Management 32
  • Human-Computer Interaction 19
  • Organizational Behavior and Human Resource Management 25
  • Management Science and Operations Research 28
Replace Alrence Halibas with:
Alrence Halibas Vietnam
Krishnadas Nanath United Arab Emirates
Zhiping Hou China
Bharati Rathore India
Ahmed Imran Kabir Bangladesh
Kuo-Ching Wang Taiwan
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Adedoyin Tolulope Oyewole United States
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Citations per field
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Citations per year

Countries citing papers authored by Hui‐Ming Kuo

Since Specialization
Citations

This map shows the geographic impact of Hui‐Ming Kuo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hui‐Ming Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui‐Ming Kuo more than expected).

Fields of papers citing papers by Hui‐Ming Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui‐Ming Kuo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hui‐Ming Kuo. The network helps show where Hui‐Ming Kuo may publish in the future.

Co-authorship network

The 12 scholars most cited alongside Hui‐Ming Kuo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hui‐Ming Kuo Line = papers co-authored together Hui‐Ming Kuo links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
A BEHAVIORAL MODEL OF THE ELDERLY INTERNET CONSUMER: A CASE STUDY
20210
2 202125
3 202162
4 20195
5 201734
6
Data Mining QFD for The Dynamic Forecasting of Life Cycle under Green Supply Chain
20125
7 201121
8
Green supply implementation based on fuzzy QFD: an application in GPLM system
20113
9 201053
10
Mining the body features to develop sizing systems to improve business logistics and marketing using fuzzy clustering data mining
20094
11 20093
12 20099
13 20054
14 200424

About Hui‐Ming Kuo

Hui‐Ming Kuo is a scholar working on Information Systems and Management, Marketing and Management of Technology and Innovation, having authored 14 papers that have together received 252 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (5 papers), Digital Marketing and Social Media (4 papers), Sharing Economy and Platforms (2 papers), Quality Function Deployment in Product Design (2 papers), Multi-Criteria Decision Making (2 papers), Place Attachment and Urban Studies (1 paper), Product Development and Customization (1 paper) and Diverse Aspects of Tourism Research (1 paper). The work is most often cited by research in Marketing (54 citations), Information Systems and Management (32 citations) and Human-Computer Interaction (19 citations). Hui‐Ming Kuo has collaborated with scholars based in Taiwan, Japan and Argentina. Frequent co-authors include Cheng‐Wu Chen, Chen-Yuan Chen, Cheng-Hua Wang, Wan‐I Lee, Sheue‐Ling Hwang, Eric Min‐yang Wang, Chung-Shan Yang, Ching‐Wen Chen, Chih-Hung Hsu and An-Yuan Chang. Their work appears in journals such as Expert Systems with Applications, Sustainability and Industrial Management & Data Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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